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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee, Thalaiyasingam Ajanthan 외 1명
arXiv (Cornell University)
|
2018
|
363 회 인용
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita, Edward H. Lee 외 1명
arXiv (Cornell University)
|
2016
|
362 회 인용
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
Andreas Rössler, Davide Cozzolino 외 4명
arXiv (Cornell University)
|
2018
|
362 회 인용
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Soroush Mehri, Kundan Kumar 외 6명
arXiv (Cornell University)
|
2016
|
362 회 인용
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia 외 9명
arXiv (Cornell University)
|
2019
|
362 회 인용
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
arXiv (Cornell University)
|
2016
|
361 회 인용
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Yaqin Zhou, Shangqing Liu 외 3명
arXiv (Cornell University)
|
2019
|
361 회 인용
Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus
Peter D. Turney, Michael L. Littman
ArXiv.org
|
2002
|
361 회 인용
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou, Liang-Chieh Chen 외 2명
arXiv (Cornell University)
|
2015
|
361 회 인용
Mitigating Sybils in Federated Learning Poisoning
Clement Fung, Chris J. M. Yoon 외 1명
arXiv (Cornell University)
|
2018
|
360 회 인용
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